Aidan Jones
Technical Director at D2H Advanced Technologies
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAidan Jones is a Technical Director and aerothermal engineer with eight years' experience applying CFD, data analysis and hands-on manufacturing to automotive, motorsports and aerospace projects. He leads multidisciplinary teams and client engagements at D2H Advanced Technologies after progressing through leadership roles at TTP Full Blue Racing, where he delivered a full aerodynamics package and developed novel manufacturing methods for racing wings. Comfortable at both the bench and in simulation, Aidan blends welding, machining, 3D printing and woodworking skills with robust CFD workflows to iterate designs from concept to track-ready hardware. He has managed large student engineering teams and supplier relationships, demonstrating an ability to scale ambitious technical programmes. Based in Cambridge, he brings a practical maker’s intuition to high-fidelity aerodynamic problems, often translating shop-floor insights directly into performance gains.
9 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Aerothermal and Mechanical Engineering, Master of Engineering - MEng, Aerothermal and Mechanical Engineering at University of CambridgeMathematics, Further Mathematics, Physics, Chemistry and Technology (Systems and Control), Mathematics, Further Mathematics, Physics, Chemistry and Technology (Systems and Control) at The Perse School, Cambridge
Github Skills (2)
ai6
artificial-intelligence6
Programming languages (2)
Github contributions (5)
montvieux/plark_ai_public
Jun 2020 - Oct 2022
Montvieux has developed “The hunting of the PLARK” Artificial Intelligence (AI) testbed to support a Hackathon activity at the Alan Turing Institute (ATI). The testbed is very flexible and will support both short term exercises in the Hackathon and provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of agent generalisation, co-operation, and deception in a defence environment.
Contributions:15 commits, 1 PR, 11 pushes in 2 years 4 months
aiartificial-intelligence
montvieux/INT-58_as-evaluation-standard
Apr 2025 - Apr 2025
A repository that holds templates, examples, and tests to help external parties submit tasks to AISI that conform with the Autonomous Systems Team's Task Standard
Contributions:20 pushes in 6 days
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